Update HISTORY.md and bump version

Update HISTORY.md
Merge pull request #227 from socialcopsdev/fix-050-bugs
2018-12-13 16:46:17 +05:30 · 2018-12-13 16:29:47 +05:30 · 2018-12-13 16:06:48 +05:30 · 2018-12-13 14:36:50 +05:30 · 2018-12-13 13:13:07 +05:30 · 2018-12-13 12:50:30 +05:30
34 changed files with 742 additions and 163 deletions
@@ -4,6 +4,30 @@ Release History
 master
 ------

+0.5.0 (2018-12-13)
+------------------
+
+**Improvements**
+
+* [#207](https://github.com/socialcopsdev/camelot/issues/207) Add a plot type for Stream text edges and detected table areas. [#224](https://github.com/socialcopsdev/camelot/pull/224) by Vinayak Mehta.
+* [#204](https://github.com/socialcopsdev/camelot/issues/204) `suppress_warnings` is now called `suppress_stdout`. [#225](https://github.com/socialcopsdev/camelot/pull/225) by Vinayak Mehta.
+
+**Bugfixes**
+
+* [#217](https://github.com/socialcopsdev/camelot/issues/217) Fix IndexError when scale is large.
+* [#105](https://github.com/socialcopsdev/camelot/issues/105), [#192](https://github.com/socialcopsdev/camelot/issues/192) and [#215](https://github.com/socialcopsdev/camelot/issues/215) in [#227](https://github.com/socialcopsdev/camelot/pull/227) by Vinayak Mehta.
+
+**Documentation**
+
+* Add pdfplumber comparison and update Tabula (stream) comparison. Check out the [wiki page](https://github.com/socialcopsdev/camelot/wiki/Comparison-with-other-PDF-Table-Extraction-libraries-and-tools).
+
+0.4.1 (2018-12-05)
+------------------
+
+**Bugfixes**
+
+* Add chardet to `install_requires` to fix [#210](https://github.com/socialcopsdev/camelot/issues/210). More details in [pdfminer.six#213](https://github.com/pdfminer/pdfminer.six/issues/213).
+
 0.4.0 (2018-11-23)
 ------------------

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-

-VERSION = (0, 4, 0)
+VERSION = (0, 5, 0)
 PRERELEASE = None # alpha, beta or rc
 REVISION = None

@@ -30,6 +30,7 @@ pass_config = click.make_pass_decorator(Config)

@click.group()
@click.version_option(version=__version__)
+@click.option('-q', '--quiet', is_flag=False, help='Suppress logs and warnings.')
@click.option('-p', '--pages', default='1', help='Comma-separated page numbers.'
              ' Example: 1,3,4 or 1,4-end.')
@click.option('-pw', '--password', help='Password for decryption.')
@@ -44,7 +45,6 @@ pass_config = click.make_pass_decorator(Config)
              ' font size. Useful to detect super/subscripts.')
@click.option('-M', '--margins', nargs=3, default=(1.0, 0.5, 0.1),
              help='PDFMiner char_margin, line_margin and word_margin.')
-@click.option('-q', '--quiet', is_flag=True, help='Suppress warnings.')
@click.pass_context
 def cli(ctx, *args, **kwargs):
    """Camelot: PDF Table Extraction for Humans"""
@@ -96,7 +96,7 @@ def lattice(c, *args, **kwargs):
    output = conf.pop('output')
    f = conf.pop('format')
    compress = conf.pop('zip')
-    suppress_warnings = conf.pop('quiet')
+    quiet = conf.pop('quiet')
    plot_type = kwargs.pop('plot_type')
    filepath = kwargs.pop('filepath')
    kwargs.update(conf)
@@ -117,7 +117,7 @@ def lattice(c, *args, **kwargs):
            raise click.UsageError('Please specify output file format using --format')

    tables = read_pdf(filepath, pages=pages, flavor='lattice',
-                      suppress_warnings=suppress_warnings, **kwargs)
+                      suppress_stdout=quiet, **kwargs)
    click.echo('Found {} tables'.format(tables.n))
    if plot_type is not None:
        for table in tables:
@@ -138,7 +138,7 @@ def lattice(c, *args, **kwargs):
@click.option('-c', '--col_close_tol', default=0, help='Tolerance parameter'
              ' used to combine text horizontally, to generate columns.')
@click.option('-plot', '--plot_type',
-              type=click.Choice(['text', 'grid']),
+              type=click.Choice(['text', 'grid', 'contour', 'textedge']),
              help='Plot elements found on PDF page for visual debugging.')
@click.argument('filepath', type=click.Path(exists=True))
@pass_config
@@ -149,7 +149,7 @@ def stream(c, *args, **kwargs):
    output = conf.pop('output')
    f = conf.pop('format')
    compress = conf.pop('zip')
-    suppress_warnings = conf.pop('quiet')
+    quiet = conf.pop('quiet')
    plot_type = kwargs.pop('plot_type')
    filepath = kwargs.pop('filepath')
    kwargs.update(conf)
@@ -169,7 +169,7 @@ def stream(c, *args, **kwargs):
            raise click.UsageError('Please specify output file format using --format')

    tables = read_pdf(filepath, pages=pages, flavor='stream',
-                      suppress_warnings=suppress_warnings, **kwargs)
+                      suppress_stdout=quiet, **kwargs)
    click.echo('Found {} tables'.format(tables.n))
    if plot_type is not None:
        for table in tables:
@@ -448,7 +448,7 @@ class Table(object):
                        self.cells[L][J].top = True
                        J += 1
            elif i == []:  # only bottom edge
-                I = len(self.rows) - 1
+                L = len(self.rows) - 1
                if k:
                    K = k[0]
                    while J < K:
@@ -125,7 +125,7 @@ class PDFHandler(object):
                with open(fpath, 'wb') as f:
                    outfile.write(f)

-    def parse(self, flavor='lattice', **kwargs):
+    def parse(self, flavor='lattice', suppress_stdout=False, **kwargs):
        """Extracts tables by calling parser.get_tables on all single
        page PDFs.

@@ -134,6 +134,8 @@ class PDFHandler(object):
        flavor : str (default: 'lattice')
            The parsing method to use ('lattice' or 'stream').
            Lattice is used by default.
+        suppress_stdout : str (default: False)
+            Suppress logs and warnings.
        kwargs : dict
            See camelot.read_pdf kwargs.

@@ -151,6 +153,6 @@ class PDFHandler(object):
                     for p in self.pages]
            parser = Lattice(**kwargs) if flavor == 'lattice' else Stream(**kwargs)
            for p in pages:
-                t = parser.extract_tables(p)
+                t = parser.extract_tables(p, suppress_stdout=suppress_stdout)
                tables.extend(t)
        return TableList(tables)
@@ -6,7 +6,7 @@ from .utils import validate_input, remove_extra


 def read_pdf(filepath, pages='1', password=None, flavor='lattice',
-             suppress_warnings=False, **kwargs):
+             suppress_stdout=False, **kwargs):
    """Read PDF and return extracted tables.

    Note: kwargs annotated with ^ can only be used with flavor='stream'
@@ -24,8 +24,8 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
    flavor : str (default: 'lattice')
        The parsing method to use ('lattice' or 'stream').
        Lattice is used by default.
-    suppress_warnings : bool, optional (default: False)
-        Prevent warnings from being emitted by Camelot.
+    suppress_stdout : bool, optional (default: True)
+        Print all logs and warnings.
    table_areas : list, optional (default: None)
        List of table area strings of the form x1,y1,x2,y2
        where (x1, y1) -> left-top and (x2, y2) -> right-bottom
@@ -92,11 +92,11 @@ def read_pdf(filepath, pages='1', password=None, flavor='lattice',
                                  " Use either 'lattice' or 'stream'")

    with warnings.catch_warnings():
-        if suppress_warnings:
+        if suppress_stdout:
            warnings.simplefilter("ignore")

        validate_input(kwargs, flavor=flavor)
        p = PDFHandler(filepath, pages=pages, password=password)
        kwargs = remove_extra(kwargs, flavor=flavor)
-        tables = p.parse(flavor=flavor, **kwargs)
+        tables = p.parse(flavor=flavor, suppress_stdout=suppress_stdout, **kwargs)
        return tables
@@ -271,10 +271,11 @@ class Lattice(BaseParser):
            tk, self.vertical_segments, self.horizontal_segments)
        t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text)
        t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text)
-        self.t_bbox = t_bbox

-        for direction in t_bbox:
-            t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0))
+        t_bbox['horizontal'].sort(key=lambda x: (-x.y0, x.x0))
+        t_bbox['vertical'].sort(key=lambda x: (x.x0, -x.y0))
+
+        self.t_bbox = t_bbox

        cols, rows = zip(*self.table_bbox[tk])
        cols, rows = list(cols), list(rows)
@@ -308,7 +309,9 @@ class Lattice(BaseParser):
        table = table.set_span()

        pos_errors = []
-        for direction in self.t_bbox:
+        # TODO: have a single list in place of two directional ones?
+        # sorted on x-coordinate based on reading order i.e. LTR or RTL
+        for direction in ['vertical', 'horizontal']:
            for t in self.t_bbox[direction]:
                indices, error = get_table_index(
                    table, t, direction, split_text=self.split_text,
@@ -341,12 +344,14 @@ class Lattice(BaseParser):
        table._text = _text
        table._image = (self.image, self.table_bbox_unscaled)
        table._segments = (self.vertical_segments, self.horizontal_segments)
+        table._textedges = None

        return table

-    def extract_tables(self, filename):
+    def extract_tables(self, filename, suppress_stdout=False):
        self._generate_layout(filename)
-        logger.info('Processing {}'.format(os.path.basename(self.rootname)))
+        if not suppress_stdout:
+            logger.info('Processing {}'.format(os.path.basename(self.rootname)))

        if not self.horizontal_text:
            warnings.warn("No tables found on {}".format(
@@ -263,6 +263,7 @@ class Stream(BaseParser):
        textedges.generate(textlines)
        # select relevant edges
        relevant_textedges = textedges.get_relevant()
+        self.textedges.extend(relevant_textedges)
        # guess table areas using textlines and relevant edges
        table_bbox = textedges.get_table_areas(textlines, relevant_textedges)
        # treat whole page as table area if no table areas found
@@ -272,6 +273,7 @@ class Stream(BaseParser):
        return table_bbox

    def _generate_table_bbox(self):
+        self.textedges = []
        if self.table_areas is not None:
            table_bbox = {}
            for area in self.table_areas:
@@ -291,10 +293,11 @@ class Stream(BaseParser):
        t_bbox = {}
        t_bbox['horizontal'] = text_in_bbox(tk, self.horizontal_text)
        t_bbox['vertical'] = text_in_bbox(tk, self.vertical_text)
-        self.t_bbox = t_bbox

-        for direction in self.t_bbox:
-            self.t_bbox[direction].sort(key=lambda x: (-x.y0, x.x0))
+        t_bbox['horizontal'].sort(key=lambda x: (-x.y0, x.x0))
+        t_bbox['vertical'].sort(key=lambda x: (x.x0, -x.y0))
+
+        self.t_bbox = t_bbox

        text_x_min, text_y_min, text_x_max, text_y_max = self._text_bbox(self.t_bbox)
        rows_grouped = self._group_rows(self.t_bbox['horizontal'], row_close_tol=self.row_close_tol)
@@ -348,8 +351,11 @@ class Stream(BaseParser):
    def _generate_table(self, table_idx, cols, rows, **kwargs):
        table = Table(cols, rows)
        table = table.set_all_edges()
+
        pos_errors = []
-        for direction in self.t_bbox:
+        # TODO: have a single list in place of two directional ones?
+        # sorted on x-coordinate based on reading order i.e. LTR or RTL
+        for direction in ['vertical', 'horizontal']:
            for t in self.t_bbox[direction]:
                indices, error = get_table_index(
                    table, t, direction, split_text=self.split_text,
@@ -378,12 +384,14 @@ class Stream(BaseParser):
        table._text = _text
        table._image = None
        table._segments = None
+        table._textedges = self.textedges

        return table

-    def extract_tables(self, filename):
+    def extract_tables(self, filename, suppress_stdout=False):
        self._generate_layout(filename)
-        logger.info('Processing {}'.format(os.path.basename(self.rootname)))
+        if not suppress_stdout:
+            logger.info('Processing {}'.format(os.path.basename(self.rootname)))

        if not self.horizontal_text:
            warnings.warn("No tables found on {}".format(
@@ -33,7 +33,10 @@ class PlotMethods(object):
        if not _HAS_MPL:
            raise ImportError('matplotlib is required for plotting.')

-        if table.flavor == 'stream' and kind in ['contour', 'joint', 'line']:
+        if table.flavor == 'lattice' and kind in ['textedge']:
+            raise NotImplementedError("Lattice flavor does not support kind='{}'".format(
+                                      kind))
+        elif table.flavor == 'stream' and kind in ['joint', 'line']:
            raise NotImplementedError("Stream flavor does not support kind='{}'".format(
                                      kind))

@@ -114,20 +117,82 @@ class PlotMethods(object):
        fig : matplotlib.fig.Figure

        """
-        img, table_bbox = table._image
+        try:
+            img, table_bbox = table._image
+            _FOR_LATTICE = True
+        except TypeError:
+            img, table_bbox = (None, {table._bbox: None})
+            _FOR_LATTICE = False
        fig = plt.figure()
        ax = fig.add_subplot(111, aspect='equal')
+
+        xs, ys = [], []
+        if not _FOR_LATTICE:
+            for t in table._text:
+                xs.extend([t[0], t[2]])
+                ys.extend([t[1], t[3]])
+                ax.add_patch(
+                    patches.Rectangle(
+                        (t[0], t[1]),
+                        t[2] - t[0],
+                        t[3] - t[1],
+                        color='blue'
+                    )
+                )
+
        for t in table_bbox.keys():
            ax.add_patch(
                patches.Rectangle(
                    (t[0], t[1]),
                    t[2] - t[0],
                    t[3] - t[1],
-                    fill=None,
-                    edgecolor='red'
+                    fill=False,
+                    color='red'
                )
            )
-        ax.imshow(img)
+            if not _FOR_LATTICE:
+                xs.extend([t[0], t[2]])
+                ys.extend([t[1], t[3]])
+                ax.set_xlim(min(xs) - 10, max(xs) + 10)
+                ax.set_ylim(min(ys) - 10, max(ys) + 10)
+
+        if _FOR_LATTICE:
+            ax.imshow(img)
+        return fig
+
+    def textedge(self, table):
+        """Generates a plot for relevant textedges.
+
+        Parameters
+        ----------
+        table : camelot.core.Table
+
+        Returns
+        -------
+        fig : matplotlib.fig.Figure
+
+        """
+        fig = plt.figure()
+        ax = fig.add_subplot(111, aspect='equal')
+        xs, ys = [], []
+        for t in table._text:
+            xs.extend([t[0], t[2]])
+            ys.extend([t[1], t[3]])
+            ax.add_patch(
+                patches.Rectangle(
+                    (t[0], t[1]),
+                    t[2] - t[0],
+                    t[3] - t[1],
+                    color='blue'
+                )
+            )
+        ax.set_xlim(min(xs) - 10, max(xs) + 10)
+        ax.set_ylim(min(ys) - 10, max(ys) + 10)
+
+        for te in table._textedges:
+            ax.plot([te.x, te.x],
+                    [te.y0, te.y1])
+
        return fig

    def joint(self, table):
@@ -344,9 +344,9 @@ def flag_font_size(textline, direction):
                fchars = [t[0] for t in chars]
                if ''.join(fchars).strip():
                    flist.append(''.join(fchars))
-        fstring = ''.join(flist).strip('\n')
+        fstring = ''.join(flist)
    else:
-        fstring = ''.join([t.get_text() for t in textline]).strip('\n')
+        fstring = ''.join([t.get_text() for t in textline])
    return fstring


@@ -419,7 +419,7 @@ def split_textline(table, textline, direction, flag_size=False):
            grouped_chars.append((key[0], key[1], flag_font_size([t[2] for t in chars], direction)))
        else:
            gchars = [t[2].get_text() for t in chars]
-            grouped_chars.append((key[0], key[1], ''.join(gchars).strip('\n')))
+            grouped_chars.append((key[0], key[1], ''.join(gchars)))
    return grouped_chars


@@ -500,7 +500,7 @@ def get_table_index(table, t, direction, split_text=False, flag_size=False):
        if flag_size:
            return [(r_idx, c_idx, flag_font_size(t._objs, direction))], error
        else:
-            return [(r_idx, c_idx, t.get_text().strip('\n'))], error
+            return [(r_idx, c_idx, t.get_text())], error


 def compute_accuracy(error_weights):
@@ -0,0 +1,96 @@
+"0","1","2","3","4","5","6","7","8","9","10"
+"Sl.
+No.","District","n
+o
+i
+t
+a
+l3
+opu2-1hs)
+P1k
+d 20 la
+er n
+cto(I
+ef
+j
+o
+r
+P","%
+8
+8
+o )
+s
+ult t  tkh
+dna
+Aalen l
+v(I
+i
+u
+q
+E",")
+y
+n a
+umptiomentadult/donnes)
+nsres/h t
+ouimk
+Cqga
+al re00n L
+ot  4(I
+T @
+(","menteds, age)nes)
+uireg sewastton
+qn h 
+Reudis &ak
+al cld L
+tnen
+To(Ife(I","","","","",""
+"","","","","","","f
+i
+r
+a
+h
+K","i
+b
+a
+R","l
+a
+t
+o
+T","e
+c
+i
+R","y
+d
+d
+a
+P"
+"1","Balasore","23.65","20.81","3.04","3.47","2.78","0.86","3.64","0.17","0.25"
+"2","Bhadrak","15.34","13.50","1.97","2.25","3.50","0.05","3.55","1.30","1.94"
+"3","Balangir","17.01","14.97","2.19","2.50","6.23","0.10","6.33","3.83","5.72"
+"4","Subarnapur","6.70","5.90","0.86","0.98","4.48","1.13","5.61","4.63","6.91"
+"5","Cuttack","26.63","23.43","3.42","3.91","3.75","0.06","3.81","-0.10","-0.15"
+"6","Jagatsingpur","11.49","10.11","1.48","1.69","2.10","0.02","2.12","0.43","0.64"
+"7","Jajpur","18.59","16.36","2.39","2.73","2.13","0.04","2.17","-0.56","-0.84"
+"8","Kendrapara","14.62","12.87","1.88","2.15","2.60","0.07","2.67","0.52","0.78"
+"9","Dhenkanal","12.13","10.67","1.56","1.78","2.26","0.02","2.28","0.50","0.75"
+"10","Angul","12.93","11.38","1.66","1.90","1.73","0.02","1.75","-0.15","-0.22"
+"11","Ganjam","35.77","31.48","4.60","5.26","4.57","0.00","4.57","-0.69","-1.03"
+"12","Gajapati","5.85","5.15","0.75","0.86","0.68","0.01","0.69","-0.17","-0.25"
+"13","Kalahandi","16.12","14.19","2.07","2.37","5.42","1.13","6.55","4.18","6.24"
+"14","Nuapada","6.18","5.44","0.79","0.90","1.98","0.08","2.06","1.16","1.73"
+"15","Keonjhar","18.42","16.21","2.37","2.71","2.76","0.08","2.84","0.13","0.19"
+"16","Koraput","14.09","12.40","1.81","2.07","2.08","0.34","2.42","0.35","0.52"
+"17","Malkangiri","6.31","5.55","0.81","0.93","1.78","0.04","1.82","0.89","1.33"
+"18","Nabarangpur","12.50","11.00","1.61","1.84","3.26","0.02","3.28","1.44","2.15"
+"19","Rayagada","9.83","8.65","1.26","1.44","1.15","0.03","1.18","-0.26","-0.39"
+"20","Mayurbhanj","25.61","22.54","3.29","3.76","4.90","0.06","4.96","1.20","1.79"
+"21","Kandhamal","7.45","6.56","0.96","1.10","0.70","0.01","0.71","-0.39","-0.58"
+"22","Boudh","4.51","3.97","0.58","0.66","1.73","0.03","1.76","1.10","1.64"
+"23","Puri","17.29","15.22","2.22","2.54","2.45","0.99","3.44","0.90","1.34"
+"24","Khordha","23.08","20.31","2.97","3.39","2.02","0.03","2.05","-1.34","-2.00"
+"25","Nayagarh","9.78","8.61","1.26","1.44","2.10","0.00","2.10","0.66","0.99"
+"26","Sambalpur","10.62","9.35","1.37","1.57","3.45","0.71","4.16","2.59","3.87"
+"27","Bargarh","15.00","13.20","1.93","2.21","6.87","2.65","9.52","7.31","10.91"
+"28","Deogarh","3.18","2.80","0.41","0.47","1.12","0.07","1.19","0.72","1.07"
+"29","Jharsuguda","5.91","5.20","0.76","0.87","0.99","0.01","1.00","0.13","0.19"
+"30","","","18.66","2.72","3.11","4.72","0.02","4.74","1.63","2.43"
@@ -0,0 +1,56 @@
+"0","1","2","3","4","5","6","7"
+"Rate of Accidental Deaths & Suicides and Population Growth During 1967 to 2013","","","","","","",""
+"Sl. 
+No.","Year","Population 
+(in Lakh)","Accidental Deaths","","Suicides","","Percentage 
+Population 
+growth"
+"","","","Incidence","Rate","Incidence","Rate",""
+"(1)","(2)","(3)","(4)","(5)","(6)","(7)","(8)"
+"1.","1967","4999","126762","25.4","38829","7.8","2.2"
+"2.","1968","5111","126232","24.7","40688","8.0","2.2"
+"3.","1969","5225","130755","25.0","43633","8.4","2.2"
+"4.","1970","5343","139752","26.2","48428","9.1","2.3"
+"5.","1971","5512","105601","19.2","43675","7.9","3.2"
+"6.","1972","5635","106184","18.8","43601","7.7","2.2"
+"7.","1973","5759","130654","22.7","40807","7.1","2.2"
+"8.","1974","5883","110624","18.8","46008","7.8","2.2"
+"9.","1975","6008","113016","18.8","42890","7.1","2.1"
+"10.","1976","6136","111611","18.2","41415","6.7","2.1"
+"11.","1977","6258","117338","18.8","39718","6.3","2.0"
+"12.","1978","6384","118594","18.6","40207","6.3","2.0"
+"13.","1979","6510","108987","16.7","38217","5.9","2.0"
+"14.","1980","6636","116912","17.6","41663","6.3","1.9"
+"15.","1981","6840","122221","17.9","40245","5.9","3.1"
+"16.","1982","7052","125993","17.9","44732","6.3","3.1"
+"17.","1983","7204","128576","17.8","46579","6.5","2.2"
+"18.","1984","7356","134628","18.3","50571","6.9","2.1"
+"19.","1985","7509","139657","18.6","52811","7.0","2.1"
+"20.","1986","7661","147023","19.2","54357","7.1","2.0"
+"21.","1987","7814","152314","19.5","58568","7.5","2.0"
+"22.","1988","7966","163522","20.5","64270","8.1","1.9"
+"23.","1989","8118","169066","20.8","68744","8.5","1.9"
+"24.","1990","8270","174401","21.1","73911","8.9","1.9"
+"25.","1991","8496","188003","22.1","78450","9.2","2.7"
+"26.","1992","8677","194910","22.5","80149","9.2","2.1"
+"27.","1993","8838","192357","21.8","84244","9.5","1.9"
+"28.","1994","8997","190435","21.2","89195","9.9","1.8"
+"29.","1995","9160","222487","24.3","89178","9.7","1.8"
+"30.","1996","9319","220094","23.6","88241","9.5","1.7"
+"31.","1997","9552","233903","24.5","95829","10.0","2.5"
+"32.","1998","9709","258409","26.6","104713","10.8","1.6"
+"33.","1999","9866","271918","27.6","110587","11.2","1.6"
+"34.","2000","10021","255883","25.5","108593","10.8","1.6"
+"35.","2001","10270","271019","26.4","108506","10.6","2.5"
+"36.","2002","10506","260122","24.8","110417","10.5","2.3"
+"37.","2003","10682","259625","24.3","110851","10.4","1.7"
+"38.","2004","10856","277263","25.5","113697","10.5","1.6"
+"39.","2005","11028","294175","26.7","113914","10.3","1.6"
+"40.","2006","11198","314704","28.1","118112","10.5","1.5"
+"41.","2007","11366","340794","30.0","122637","10.8","1.5"
+"42.","2008","11531","342309","29.7","125017","10.8","1.4"
+"43.","2009","11694","357021","30.5","127151","10.9","1.4"
+"44.","2010","11858","384649","32.4","134599","11.4","1.4"
+"45.","2011","12102","390884","32.3","135585","11.2","2.1"
+"46.","2012","12134","394982","32.6","135445","11.2","1.0"
+"47.","2013","12288","400517","32.6","134799","11.0","1.0"
@@ -0,0 +1,18 @@
+"0","1","2"
+"","e
+bl
+a
+ail
+v
+a
+ 
+t
+o
+n
+ 
+a
+t
+a
+D
+ 
+*",""
@@ -0,0 +1,3 @@
+"0"
+"Sl."
+"No."
@@ -0,0 +1,3 @@
+"0"
+"Table 6 : DISTRIBUTION (%) OF HOUSEHOLDS BY LITERACY STATUS OF"
+"MALE HEAD OF THE HOUSEHOLD"
@@ -1,3 +1,7 @@
+"[In thousands (11,062.6 represents 11,062,600) For year ending December 31. Based on Uniform Crime Reporting (UCR)","","","","","","","","",""
+"Program. Represents arrests reported (not charged) by 12,910 agencies with a total population of 247,526,916 as estimated","","","","","","","","",""
+"by the FBI. Some persons may be arrested more than once during a year, therefore, the data in this table, in some cases,","","","","","","","","",""
+"could represent multiple arrests of the same person. See text, this section and source]","","","","","","","","",""
 "","","Total","","","Male","","","Female",""
 "Offense charged","","Under 18","18 years","","Under 18","18 years","","Under 18","18 years"
 "","Total","years","and over","Total","years","and over","Total","years","and over"
@@ -36,3 +40,4 @@
 "Curfew and loitering law violations  ..","91.0","91.0","(X)","63.1","63.1","(X)","28.0","28.0","(X)"
 "Runaways  . . . . . . . .. .. .. .. .. ....","75.8","75.8","(X)","34.0","34.0","(X)","41.8","41.8","(X)"
 "","– Represents zero. X Not applicable. 1 Buying, receiving, possessing stolen property. 2 Except forcible rape and prostitution.","","","","","","","",""
+"","Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.","","","","","","","",""
@@ -1,3 +1,7 @@
+"","Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.","","","",""
+"Table 325. Arrests by Race: 2009","","","","",""
+"[Based on Uniform Crime Reporting (UCR) Program. Represents arrests reported (not charged) by 12,371 agencies","","","","",""
+"with a total population of 239,839,971 as estimated by the FBI. See headnote, Table 324]","","","","",""
 "","","","","American",""
 "Offense charged","","","","Indian/Alaskan","Asian Pacific"
 "","Total","White","Black","Native","Islander"
@@ -34,3 +38,4 @@
 "Curfew and loitering law violations  . .. ... .. ....","89,578","54,439","33,207","872","1,060"
 "Runaways  . . . . . . . .. .. .. .. .. .. .... .. ..... .","73,616","48,343","19,670","1,653","3,950"
 "1 Except forcible rape and prostitution.","","","","",""
+"","Source: U.S. Department of Justice, Federal Bureau of Investigation, “Crime in the United States, Arrests,” September 2010,","","","",""
@@ -1,35 +1,43 @@
-"","","","","","SCN","Seed","Yield","Moisture","Lodgingg","g","Stand","","Gross"
-"Company/Brandpy","","Product/Brand†","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income"
-"KrugerKruger","","K2-1901K2 1901","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846"
-"StineStine","","19RA02 §19RA02 §","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
-"WensmanWensman","","W 3190NR2W 3190NR2","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818"
-"H ftHefty","","H17Y12H17Y12","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
-"Dyna-Gro","","S15RY53","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804"
-"LG SeedsLG Seeds","","C2050R2C2050R2","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804"
-"Titan ProTitan Pro","","19M4219M42","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804"
-"StineStine","","19RA02 (2) §19RA02 (2) §","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801"
-"AsgrowAsgrow","","AG1832 §AG1832 §","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794"
-"Prairie Brandiid","","PB-1566R2662","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$"
-"Channel","","1901R2","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$"
-"Titan ProTitan Pro","","20M120M1","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788"
-"KrugerKruger","","K2-2002K2-2002","RR2YRR2Y","2 02.0","RR","Ac PVAc,PV","52 452.4","7 97.9","00","","125 4125.4","","$786$786"
-"ChannelChannel","","1700R21700R2","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784"
-"H ftHefty","","H16Y11H16Y11","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771"
-"Anderson","","162R2Y","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
-"Titan ProTitan Pro","","15M2215M22","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769"
-"DairylandDairyland","","DSR-1710R2YDSR-1710R2Y","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
-"HeftyHefty","","H20R3H20R3","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757"
-"PPrairie BrandiiBd","","PB 1743R2PB-1743R2","RR2YRR2Y","1 71.7","RR","CMBCMB","50 250.2","7 77.7","00","","125 8125.8","","$752$752"
-"Gold Country","","1741","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
-"Trelaye ay","","20RR4303","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
-"HeftyHefty","","H14R3H14R3","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746"
-"Prairie BrandPrairie Brand","","PB-2099NRR2PB-2099NRR2","RR2YRR2Y","2 02.0","RR","CMBCMB","49 649.6","7 87.8","00","","126 3126.3","","$743$743"
-"WensmanWensman","","W 3174NR2W 3174NR2","RR2YRR2Y","1 71.7","RR","AcAc","49 349.3","7 67.6","00","","122 5122.5","","$740$740"
-"KKruger","","K2 1602K2-1602","RR2YRR2Y","1 61.6","R","Ac,PV","48.78","7.66","00","","125.412","","$731$31"
-"NK Brand","","S18-C2 §§","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$"
-"KrugerKruger","","K2-1902K2 1902","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","48.748.7","7.57.5","00","","124.4124.4","","$730$730"
-"Prairie BrandPrairie Brand","","PB-1823R2PB-1823R2","RR2YRR2Y","1 81.8","RR","NoneNone","48 548.5","7 67.6","00","","121 0121.0","","$727$727"
-"Gold CountryGold Country","","15411541","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726"
-"","","","","","","Test Average  =","47 647.6","7 77.7","00","","122 9122.9","","$713$713"
-"","","","","","","LSD (0.10)  =","5.7","0.3","ns","","37.8","","566.4"
-"","F.I.R.S.T. Managerg","","","","","C.V.  =","8.8","2.9","","","56.4","","846.2"
+"","2012 BETTER VARIETIES Harvest Report for Minnesota Central  [ MNCE ]2012 BETTER VARIETIES Harvest Report for Minnesota Central  [ MNCE ]","","","","","","","","","","","","ALL SEASON TESTALL SEASON TEST",""
+"","Doug Toreen, Renville County, MN 55310          [ BIRD ISLAND ]Doug Toreen, Renville County, MN 55310","","","","","[ BIRD ISLAND ]","","","","","","","1.3 - 2.0 MAT. GROUP1.3 - 2.0 MAT. GROUP",""
+"PREVPREV. CROP/HERB:","CROP/HERB","C/ S","Corn / Surpass, RoundupR","d","","","","","","","","","","S2MNCE01S2MNCE01"
+"SOIL DESCRIPTION:","","C","Canisteo clay loam, mod. well drained, non-irrigated","","","","","","","","","","",""
+"SOIL CONDITIONS:","","","High P, high K, 6.7 pH, 3.9% OM, Low SCN","","","","","","","","","","","30"" ROW SPACING"
+"TILLAGE/CULTIVATION:TILLAGE/CULTIVATION:","","","conventional w/ fall tillconventional w/ fall till","","","","","","","","","","",""
+"PEST MANAGEMENT:PEST MANAGEMENT:","","Roundup twiceRoundup twice","","","","","","","","","","","",""
+"SEEDED - RATE:","","May 15M15","140,000 /A140 000 /A","","","","","","","","TOP 30 foTOP 30 for YIELD of 63 TESTED","","YIELD of 63 TESTED",""
+"HARVESTEDHARVESTED - STAND:","STAND","O t 3Oct 3","122 921 /A122,921 /A","","","","","","","","","AVERAGE of (3) REPLICATIONSAVERAGE of (3) REPLICATIONS","",""
+"","","","","","","SCN","Seed","Yield","Moisture","Lodgingg","g","Stand","","Gross"
+"","Company/Brandpy","Product/Brand†","","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income"
+"","KrugerKruger","K2-1901K2 1901","","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846"
+"","StineStine","19RA02 §19RA02 §","","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
+"","WensmanWensman","W 3190NR2W 3190NR2","","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818"
+"","H ftHefty","H17Y12H17Y12","","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
+"","Dyna-Gro","S15RY53","","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804"
+"","LG SeedsLG Seeds","C2050R2C2050R2","","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804"
+"","Titan ProTitan Pro","19M4219M42","","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804"
+"","StineStine","19RA02 (2) §19RA02 (2) §","","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801"
+"","AsgrowAsgrow","AG1832 §AG1832 §","","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794"
+"","Prairie Brandiid","PB-1566R2662","","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$"
+"","Channel","1901R2","","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$"
+"","Titan ProTitan Pro","20M120M1","","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788"
+"","KrugerKruger","K2-2002K2-2002","","RR2YRR2Y","2 02.0","RR","Ac PVAc,PV","52 452.4","7 97.9","00","","125 4125.4","","$786$786"
+"","ChannelChannel","1700R21700R2","","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784"
+"","H ftHefty","H16Y11H16Y11","","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771"
+"","Anderson","162R2Y","","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
+"","Titan ProTitan Pro","15M2215M22","","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769"
+"","DairylandDairyland","DSR-1710R2YDSR-1710R2Y","","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
+"","HeftyHefty","H20R3H20R3","","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757"
+"","PPrairie BrandiiBd","PB 1743R2PB-1743R2","","RR2YRR2Y","1 71.7","RR","CMBCMB","50 250.2","7 77.7","00","","125 8125.8","","$752$752"
+"","Gold Country","1741","","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
+"","Trelaye ay","20RR4303","","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
+"","HeftyHefty","H14R3H14R3","","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746"
+"","Prairie BrandPrairie Brand","PB-2099NRR2PB-2099NRR2","","RR2YRR2Y","2 02.0","RR","CMBCMB","49 649.6","7 87.8","00","","126 3126.3","","$743$743"
+"","WensmanWensman","W 3174NR2W 3174NR2","","RR2YRR2Y","1 71.7","RR","AcAc","49 349.3","7 67.6","00","","122 5122.5","","$740$740"
+"","KKruger","K2 1602K2-1602","","RR2YRR2Y","1 61.6","R","Ac,PV","48.78","7.66","00","","125.412","","$731$31"
+"","NK Brand","S18-C2 §§","","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$"
+"","KrugerKruger","K2-1902K2 1902","","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","48.748.7","7.57.5","00","","124.4124.4","","$730$730"
+"","Prairie BrandPrairie Brand","PB-1823R2PB-1823R2","","RR2YRR2Y","1 81.8","RR","NoneNone","48 548.5","7 67.6","00","","121 0121.0","","$727$727"
+"","Gold CountryGold Country","15411541","","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726"
+"","","","","","","","Test Average  =","47 647.6","7 77.7","00","","122 9122.9","","$713$713"
+"","","","","","","","LSD (0.10)  =","5.7","0.3","ns","","37.8","","566.4"
@@ -0,0 +1,39 @@
+"TILLAGE/CULTIVATION:TILLAGE/CULTIVATION:","","conventional w/ fall tillconventional w/ fall till","","","","","","","","","","",""
+"PEST MANAGEMENT:PEST MANAGEMENT:","","Roundup twiceRoundup twice","","","","","","","","","","",""
+"SEEDED - RATE:","","May 15M15","140,000 /A140 000 /A","","","","","","","TOP 30 foTOP 30 for YIELD of 63 TESTED","","YIELD of 63 TESTED",""
+"HARVESTEDHARVESTED - STAND:STAND","","O t 3Oct 3","122 921 /A122,921 /A","","","","","","","","AVERAGE of (3) REPLICATIONSAVERAGE of (3) REPLICATIONS","",""
+"","","","","","SCN","Seed","Yield","Moisture","Lodgingg","g","Stand","","Gross"
+"Company/Brandpy","","Product/Brand†","Technol.†","Mat.","Resist.","Trmt.†","Bu/A","%","%","","(x 1000)(",")","Income"
+"KrugerKruger","","K2-1901K2 1901","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","56.456.4","7.67.6","00","","126.3126.3","","$846$846"
+"StineStine","","19RA02 §19RA02 §","RR2YRR2Y","1 91.9","RR","CMBCMB","55.355.3","7 67.6","00","","120 0120.0","","$830$830"
+"WensmanWensman","","W 3190NR2W 3190NR2","RR2YRR2Y","1 91.9","RR","AcAc","54 554.5","7 67.6","00","","119 5119.5","","$818$818"
+"H ftHefty","","H17Y12H17Y12","RR2YRR2Y","1 71.7","MRMR","II","53 753.7","7 77.7","00","","124 4124.4","","$806$806"
+"Dyna-Gro","","S15RY53","RR2Y","1.5","R","Ac","53.6","7.7","0","","126.8","","$804"
+"LG SeedsLG Seeds","","C2050R2C2050R2","RR2YRR2Y","2.12.1","RR","AcAc","53.653.6","7.77.7","00","","123.9123.9","","$804$804"
+"Titan ProTitan Pro","","19M4219M42","RR2YRR2Y","1.91.9","RR","CMBCMB","53.653.6","7.77.7","00","","121.0121.0","","$804$804"
+"StineStine","","19RA02 (2) §19RA02 (2) §","RR2YRR2Y","1 91.9","RR","CMBCMB","53 453.4","7 77.7","00","","123 9123.9","","$801$801"
+"AsgrowAsgrow","","AG1832 §AG1832 §","RR2YRR2Y","1 81.8","MRMR","Ac PVAc,PV","52 952.9","7 77.7","00","","122 0122.0","","$794$794"
+"Prairie Brandiid","","PB-1566R2662","RR2Y2","1.5","R","CMB","52.8","7.7","0","","122.9","","$792$"
+"Channel","","1901R2","RR2Y","1.9","R","Ac,PV,","52.8","7.6","0","","123.4","","$791$"
+"Titan ProTitan Pro","","20M120M1","RR2YRR2Y","2.02.0","RR","AmAm","52.552.5","7.57.5","00","","124.4124.4","","$788$788"
+"KrugerKruger","","K2-2002K2-2002","RR2YRR2Y","2 02.0","RR","Ac PVAc,PV","52 452.4","7 97.9","00","","125 4125.4","","$786$786"
+"ChannelChannel","","1700R21700R2","RR2YRR2Y","1 71.7","RR","Ac PVAc,PV","52 352.3","7 97.9","00","","123 9123.9","","$784$784"
+"H ftHefty","","H16Y11H16Y11","RR2YRR2Y","1 61.6","MRMR","II","51 451.4","7 67.6","00","","123 9123.9","","$771$771"
+"Anderson","","162R2Y","RR2Y","1.6","R","None","51.3","7.5","0","","119.5","","$770"
+"Titan ProTitan Pro","","15M2215M22","RR2YRR2Y","1.51.5","RR","CMBCMB","51.351.3","7.87.8","00","","125.4125.4","","$769$769"
+"DairylandDairyland","","DSR-1710R2YDSR-1710R2Y","RR2YRR2Y","1 71.7","RR","CMBCMB","51 351.3","7 77.7","00","","122 0122.0","","$769$769"
+"HeftyHefty","","H20R3H20R3","RR2YRR2Y","2 02.0","MRMR","II","50 550.5","8 28.2","00","","121 0121.0","","$757$757"
+"PPrairie BrandiiBd","","PB 1743R2PB-1743R2","RR2YRR2Y","1 71.7","RR","CMBCMB","50 250.2","7 77.7","00","","125 8125.8","","$752$752"
+"Gold Country","","1741","RR2Y","1.7","R","Ac","50.1","7.8","0","","123.9","","$751"
+"Trelaye ay","","20RR4303","RR2Y","2.00","R","Ac,Exc,","49.99 9","7.66","00","","127.88","","$749$9"
+"HeftyHefty","","H14R3H14R3","RR2YRR2Y","1.41.4","MRMR","II","49.749.7","7.77.7","00","","122.9122.9","","$746$746"
+"Prairie BrandPrairie Brand","","PB-2099NRR2PB-2099NRR2","RR2YRR2Y","2 02.0","RR","CMBCMB","49 649.6","7 87.8","00","","126 3126.3","","$743$743"
+"WensmanWensman","","W 3174NR2W 3174NR2","RR2YRR2Y","1 71.7","RR","AcAc","49 349.3","7 67.6","00","","122 5122.5","","$740$740"
+"KKruger","","K2 1602K2-1602","RR2YRR2Y","1 61.6","R","Ac,PV","48.78","7.66","00","","125.412","","$731$31"
+"NK Brand","","S18-C2 §§","RR2Y","1.8","R","CMB","48.7","7.7","0","","126.8","","$731$"
+"KrugerKruger","","K2-1902K2 1902","RR2YRR2Y","1.91.9","RR","Ac,PVAc,PV","48.748.7","7.57.5","00","","124.4124.4","","$730$730"
+"Prairie BrandPrairie Brand","","PB-1823R2PB-1823R2","RR2YRR2Y","1 81.8","RR","NoneNone","48 548.5","7 67.6","00","","121 0121.0","","$727$727"
+"Gold CountryGold Country","","15411541","RR2YRR2Y","1 51.5","RR","AcAc","48 448.4","7 67.6","00","","110 4110.4","","$726$726"
+"","","","","","","Test Average  =","47 647.6","7 77.7","00","","122 9122.9","","$713$713"
+"","","","","","","LSD (0.10)  =","5.7","0.3","ns","","37.8","","566.4"
+"","F.I.R.S.T. Managerg","","","","","C.V.  =","8.8","2.9","","","56.4","","846.2"
@@ -0,0 +1,66 @@
+"0","1","2","3","4"
+"","DLHS-4 (2012-13)","","DLHS-3 (2007-08)",""
+"Indicators","TOTAL","RURAL","TOTAL","RURAL"
+"Child feeding practices (based on last-born child in the reference period) (%)","","","",""
+"Children age 0-5 months exclusively breastfed9 ..........................................................................  76.9  80.0 
+Children age 6-9 months receiving solid/semi-solid food and breast milk ....................................  78.6  75.0 
+Children age 12-23 months receiving breast feeding along with complementary feeding ...........  31.8  24.2   
+Children age 6-35 months exclusively breastfed for at least 6 months ........................................  4.7  3.4 
+Children under 3 years breastfed within one hour of birth ............................................................  42.9  46.5","","","NA","NA"
+"","","","85.9","89.3"
+"","","","NA","NA"
+"","","","30.0","27.7"
+"","","","50.6","52.9"
+"Birth Weight (%) (age below 36 months)","","","",""
+"Percentage of Children weighed at birth ......................................................................................  38.8  41.0  NA  NA 
+Percentage of Children with low birth weight (out of those who weighted) ( below 2.5 kg) .........  12.8  14.6  NA  NA","","","",""
+"Awareness about Diarrhoea (%)","","","",""
+"Women know about  what to do when a child gets  diarrhoea .....................................................  96.3  96.2","","","94.4","94.2"
+"Awareness about ARI (%)","","","",""
+"Women aware about danger signs of ARI10 .................................................................................  55.9  59.7","","","32.8","34.7"
+"Treatment of childhood diseases (based on last two surviving children born during the","","","",""
+"","","","",""
+"reference period) (%)","","","",""
+"","","","",""
+"Prevalence of diarrhoea in last 2 weeks for under 5 years old children .......................................  1.6  1.3  6.5  7.0 
+Children with diarrhoea in the last 2 weeks and received ORS11 .................................................  100.0  100.0  54.8  53.3 
+Children with diarrhoea in the last 2 weeks and sought advice/treatment ...................................  100.0  50.0  72.9  73.3 
+Prevalence of ARI in last 2 weeks for under 5 years old children ............................................   4.3  3.9  3.9  4.2 
+Children with acute respiratory infection or fever in last 2 weeks and sought advice/treatment  37.5  33.3  69.8  68.0 
+Children with diarrhoea in the last 2 weeks given Zinc along with ORS ......................................  66.6  50.0  NA  NA","","","6.5","7.0"
+"","","","54.8","53.3"
+"","","","72.9","73.3"
+"","","","3.9","4.2"
+"","","","69.8","68.0"
+"Awareness of RTI/STI and HIV/AIDS (%)","","","",""
+"Women who have heard of RTI/STI .............................................................................................  55.8  57.1 
+Women who have heard of HIV/AIDS ..........................................................................................  98.9  99.0 
+Women who have any symptoms of RTI/STI  ..............................................................................  13.9  13.5 
+Women who know the place to go for testing of HIV/AIDS12 .......................................................  59.9  57.1 
+Women underwent test for detecting HIV/AIDS12 ........................................................................  37.3  36.8","","","34.8","38.2"
+"","","","98.3","98.1"
+"","","","15.6","16.1"
+"","","","48.6","46.3"
+"","","","14.1","12.3"
+"Utilization of Government Health Services (%)","","","",""
+"Antenatal care ..............................................................................................................................  69.7  66.7  79.0  81.0 
+Treatment for pregnancy complications .......................................................................................  57.1  59.3  88.0  87.8 
+Treatment for post-delivery complications ...................................................................................  33.3  33.3  68.4  68.4 
+Treatment for vaginal discharge ...................................................................................................  20.0  25.0  73.9  71.4 
+Treatment for children with diarrhoea13 ........................................................................................  50.0  100.0  NA  NA 
+Treatment for children with ARI13 .................................................................................................  NA  NA  NA  NA","","","79.0","81.0"
+"","","","88.0","87.8"
+"","","","68.4","68.4"
+"","","","73.9","71.4"
+"Birth Registration (%)","","","",""
+"Children below age 5 years having birth registration done ..........................................................  40.6  44.3  NA  NA 
+Children below age 5 years who received birth certificate (out of those registered) ....................  65.9  63.6  NA  NA","","","",""
+"Personal Habits (age 15 years and above) (%)","","","",""
+"Men who use any kind of smokeless tobacco  .............................................................................  74.6  74.2  NA  NA 
+Women who use any kind of smokeless tobacco ........................................................................  59.5  58.9  NA  NA 
+Men who smoke ...........................................................................................................................  56.0  56.4  NA  NA 
+Women who smoke ......................................................................................................................  18.4  18.0  NA  NA 
+Men who consume alcohol ...........................................................................................................  58.4  58.2  NA  NA 
+Women who consume alcohol .....................................................................................................  10.9  9.3  NA  NA","","","",""
+"9 Children Who were given nothing but breast milk till the survey date  10Acute Respiratory Infections11Oral Rehydration Solutions/Salts.12Based on","","","",""
+"the women who have heard of HIV/AIDS.13 Last two weeks","","","",""
@@ -0,0 +1,44 @@
+"0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22","23"
+"","Table: 5            Public Health Outlay 2012-13 (Budget Estimates)        (Rs. in 000)","","","","","","","","","","","","","","","","","","","","","",""
+"","States-A","","","Revenue","","","","","","Capital","","","","","","Total","","","Others(1)","","","Total",""
+"","","","","","","","","","","","","","","","","Revenue &","","","","","","",""
+"","","","Medical &  Family  Medical &  Family 
+Public  Welfare  Public  Welfare 
+Health  Health","","","","","","","","","","","","","","","","","","","",""
+"","","","","","","","","","","","","","","","","Capital","","","","","","",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"","Andhra Pradesh","","","47,824,589","","","9,967,837","","","1,275,000","","","15,000","","","59,082,426","","","14,898,243","","","73,980,669",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Arunachal Pradesh   2,241,609  107,549  23,000  0  2,372,158  86,336  2,458,494","","","","","","","","","","","","","","","","","","","","","","",""
+"","Assam","","","14,874,821","","","2,554,197","","","161,600","","","0","","","17,590,618","","","4,408,505","","","21,999,123",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Bihar   21,016,708  4,332,141  5,329,000  0  30,677,849  2,251,571  32,929,420","","","","","","","","","","","","","","","","","","","","","","",""
+"","Chhattisgarh","","","11,427,311","","","1,415,660","","","2,366,592","","","0","","","15,209,563","","","311,163","","","15,520,726",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Delhi  28,084,780  411,700  4,550,000  0  33,046,480  5,000  33,051,480","","","","","","","","","","","","","","","","","","","","","","",""
+"","Goa","","","4,055,567","","","110,000","","","330,053","","","0","","","4,495,620","","","12,560","","","4,508,180",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Gujarat  26,328,400  6,922,900  12,664,000  42,000  45,957,300  455,860  46,413,160","","","","","","","","","","","","","","","","","","","","","","",""
+"","Haryana","","","15,156,681","","","1,333,527","","","40,100","","","0","","","16,530,308","","","1,222,698","","","17,753,006",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Himachal Pradesh  8,647,229  1,331,529  580,800  0  10,559,558  725,315  11,284,873","","","","","","","","","","","","","","","","","","","","","","",""
+"","Jammu & Kashmir","","","14,411,984","","","270,840","","","3,188,550","","","0","","","17,871,374","","","166,229","","","18,037,603",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Jharkhand  8,185,079  3,008,077  3,525,558  0  14,718,714  745,139  15,463,853","","","","","","","","","","","","","","","","","","","","","","",""
+"","Karnataka","","","34,939,843","","","4,317,801","","","3,669,700","","","0","","","42,927,344","","","631,088","","","43,558,432",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Kerala  27,923,965  3,985,473  929,503  0  32,838,941  334,640  33,173,581","","","","","","","","","","","","","","","","","","","","","","",""
+"","Madhya Pradesh","","","28,459,540","","","4,072,016","","","3,432,711","","","0","","","35,964,267","","","472,139","","","36,436,406",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Maharashtra  55,011,100  6,680,721  5,038,576  0  66,730,397  313,762  67,044,159","","","","","","","","","","","","","","","","","","","","","","",""
+"","Manipur","","","2,494,600","","","187,700","","","897,400","","","0","","","3,579,700","","","0","","","3,579,700",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Meghalaya  2,894,093  342,893  705,500  5,000  3,947,486  24,128  3,971,614","","","","","","","","","","","","","","","","","","","","","","",""
+"","Mizoram","","","1,743,501","","","84,185","","","10,250","","","0","","","1,837,936","","","17,060","","","1,854,996",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Nagaland   2,368,724  204,329  226,400  0  2,799,453  783,054  3,582,507","","","","","","","","","","","","","","","","","","","","","","",""
+"","Odisha","","","14,317,179","","","2,552,292","","","1,107,250","","","0","","","17,976,721","","","451,438","","","18,428,159",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
+"Puducherry  4,191,757  52,249  192,400  0  4,436,406  2,173  4,438,579","","","","","","","","","","","","","","","","","","","","","","",""
+"","Punjab","","","19,775,485","","","2,208,343","","","2,470,882","","","0","","","24,454,710","","","1,436,522","","","25,891,232",""
+"","","","","","","","","","","","","","","","","","","","","","","",""
@@ -0,0 +1,71 @@
+"0","1","2","3","4"
+"","DLHS-4 (2012-13)","","DLHS-3 (2007-08)",""
+"Indicators","TOTAL","RURAL","TOTAL","RURAL"
+"Reported Prevalence of Morbidity","","","",""
+"Any Injury .....................................................................................................................................   1.9  2.1   
+Acute Illness .................................................................................................................................   4.5  5.6   
+Chronic Illness ..............................................................................................................................   5.1  4.1","","","",""
+"","","","",""
+"","","","",""
+"Reported Prevalence of Chronic Illness during last one year (%)","","","",""
+"Disease of respiratory system ......................................................................................................   11.7  15.0   
+Disease of cardiovascular system ................................................................................................   8.9  9.3   
+Persons suffering from tuberculosis .............................................................................................   2.2  1.5","","","",""
+"","","","",""
+"","","","",""
+"Anaemia Status by Haemoglobin Level14 (%)","","","",""
+"Children (6-59 months) having anaemia ......................................................................................   68.5  71.9   
+Children (6-59 months) having severe anaemia ..........................................................................   6.7  9.4   
+Children (6-9 Years) having anaemia - Male ................................................................................   67.1  71.4   
+Children (6-9 Years) having severe anaemia - Male ....................................................................   4.4  2.4   
+Children (6-9 Years) having anaemia - Female ...........................................................................   52.4  48.8   
+Children (6-9 Years) having severe anaemia - Female ................................................................   1.2  0.0   
+Children (6-14 years) having  anaemia - Male .............................................................................   50.8  62.5   
+Children (6-14 years) having severe anaemia - Male ..................................................................   3.7  3.6   
+Children (6-14 years) having  anaemia - Female .........................................................................   48.3  50.0   
+Children (6-14 years) having severe anaemia - Female ..............................................................   4.3  6.1   
+Children (10-19 Years15) having anaemia - Male .........................................................................   37.9  51.2   
+Children (10-19 Years15) having severe anaemia - Male .............................................................   3.5  4.0   
+Children (10-19 Years15) having anaemia - Female .....................................................................   46.6  52.1   
+Children (10-19 Years15) having severe anaemia - Female .........................................................   6.4  6.5   
+Adolescents (15-19 years) having  anaemia ................................................................................   39.4  46.5   
+Adolescents (15-19 years) having severe anaemia .....................................................................   5.4  5.1   
+Pregnant women (15-49 aged) having anaemia ..........................................................................   48.8  51.5   
+Pregnant women (15-49 aged) having severe anaemia ..............................................................   7.1  8.8   
+Women (15-49 aged) having anaemia .........................................................................................   45.2  51.7   
+Women (15-49 aged) having severe anaemia .............................................................................   4.8  5.9   
+Persons (20 years and above) having anaemia ...........................................................................   37.8  42.1   
+Persons (20 years and above) having Severe anaemia ..............................................................   4.6  4.8","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"","","","",""
+"Blood Sugar Level (age 18 years and above) (%)","","","",""
+"Blood Sugar Level >140 mg/dl (high) ...........................................................................................   12.9  11.1   
+Blood Sugar Level >160 mg/dl (very high) ...................................................................................   7.0  5.1","","","",""
+"","","","",""
+"Hypertension (age 18 years and above) (%)","","","",""
+"Above Normal Range (Systolic >140 mm of Hg & Diastolic >90 mm of Hg )  ..............................   23.8  22.8   
+Moderately High (Systolic >160 mm of Hg & Diastolic >100 mm of Hg ) .....................................   8.2  7.1   
+Very High (Systolic >180 mm of Hg & Diastolic >110 mm of Hg ) ...............................................   3.7  3.1","","","",""
+"","","","",""
+"","","","",""
+"14 Any anaemia below 11g/dl, severe anaemia below 7g/dl. 15 Excluding age group 19 years","","","",""
+"Chronic Illness :Any person with symptoms persisting for longer than one month is defined as suffering from chronic illness","","","",""
@@ -41,8 +41,9 @@ You can specify the type of element you want to plot using the ``kind`` keyword
 - 'contour'
 - 'line'
 - 'joint'
+- 'textedge'

-.. note:: The last three plot types can only be used with :ref:`Lattice <lattice>`, i.e. when ``flavor='lattice'``.
+.. note:: 'line' and 'joint' can only be used with :ref:`Lattice <lattice>` and 'textedge' can only be used with :ref:`Stream <stream>`.

 Let's generate a plot for each type using this `PDF <../_static/pdf/foo.pdf>`__ as an example. First, let's get all the tables out.

@@ -143,10 +144,27 @@ Finally, let's plot all line intersections present on the table's PDF page.
    :alt: A plot of all line intersections on a PDF page
    :align: left

+textedge
+^^^^^^^^
+
+You can also visualize the textedges found on a page by specifying ``kind='textedge'``. To know more about what a "textedge" is, you can see pages 20, 35 and 40 of `Anssi Nurminen's master's thesis <http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/21520/Nurminen.pdf?sequence=3>`_.
+
+::
+
+    >>> camelot.plot(tables[0], kind='textedge')
+    >>> plt.show()
+
+.. figure:: ../_static/png/plot_textedge.png
+    :height: 674
+    :width: 1366
+    :scale: 50%
+    :alt: A plot of relevant textedges on a PDF page
+    :align: left
+
 Specify table areas
 -------------------

-Since :ref:`Stream <stream>` treats the whole page as a table, `for now`_, it's useful to specify table boundaries in cases such as `these <../_static/pdf/table_areas.pdf>`__. You can plot the text on this page and note the top left and bottom right coordinates of the table.
+In cases such as `these <../_static/pdf/table_areas.pdf>`__, it can be useful to specify table boundaries. You can plot the text on this page and note the top left and bottom right coordinates of the table.

 Table areas that you want Camelot to analyze can be passed as a list of comma-separated strings to :meth:`read_pdf() <camelot.read_pdf>`, using the ``table_areas`` keyword argument.

@@ -15,6 +15,7 @@ You can print the help for the interface by typing ``camelot --help`` in your fa

  Options:
    --version                       Show the version and exit.
+    -v, --verbose                   Verbose.
    -p, --pages TEXT                Comma-separated page numbers. Example: 1,3,4
                                    or 1,4-end.
    -pw, --password TEXT            Password for decryption.
@@ -28,7 +29,6 @@ You can print the help for the interface by typing ``camelot --help`` in your fa
    -M, --margins <FLOAT FLOAT FLOAT>...
                                    PDFMiner char_margin, line_margin and
                                    word_margin.
-    -q, --quiet                     Suppress warnings.
    --help                          Show this message and exit.

  Commands:
@@ -14,6 +14,7 @@ with open('README.md', 'r') as f:


 requires = [
+    'chardet>=3.0.4',
    'click>=6.7',
    'numpy>=1.13.3',
    'openpyxl>=2.5.8',
@@ -82,42 +82,40 @@ data_stream_two_tables_1 = [
    ["", "", "Total", "", "", "Male", "", "", "Female", ""],
    ["Offense charged", "", "Under 18", "18 years", "", "Under 18", "18 years", "", "Under 18", "18 years"],
    ["", "Total", "years", "and over", "Total", "years", "and over", "Total", "years", "and over"],
-    ["Total   . . .  .  .  .  .  . .  . .  . .  . .  . .  . .  . .  . .  .  .", "11,062 .6", "1,540 .0", "9,522 .6", "8,263 .3", "1,071 .6", "7,191 .7", "2,799 .2", "468 .3", "2,330 .9"],
-    ["Violent crime  .  .  .  .  .  .  .  . .  . .  . .  . .  . .  .", "467 .9", "69 .1", "398 .8", "380 .2", "56 .5", "323 .7", "87 .7", "12 .6", "75 .2"],
+    ["Total   .\n .\n .  .  .  .  .  .\n .  .\n .  .\n .  .\n .  .\n .  .\n .  .\n .  .\n .  .  .", "11,062 .6", "1,540 .0", "9,522 .6", "8,263 .3", "1,071 .6", "7,191 .7", "2,799 .2", "468 .3", "2,330 .9"],
+    ["Violent crime  .  .  .  .  .  .  .  .\n .  .\n .  .\n .  .\n .  .\n .  .", "467 .9", "69 .1", "398 .8", "380 .2", "56 .5", "323 .7", "87 .7", "12 .6", "75 .2"],
    ["Murder and nonnegligent", "", "", "", "", "", "", "", "", ""],
-    ["manslaughter . . . . . . . .. .. .. .. ..", "10.0", "0.9", "9.1", "9.0", "0.9", "8.1", "1.1", "–", "1.0"],
-    ["Forcible rape . . . . . . . .. .. .. .. .. .", "17.5", "2.6", "14.9", "17.2", "2.5", "14.7", "–", "–", "–"],
-    ["Robbery . . . .. .. . .. . ... . ... . ...", "102.1", "25.5", "76.6", "90.0", "22.9", "67.1", "12.1", "2.5", "9.5"],
-    ["Aggravated assault  . . . . . . . .. .. ..", "338.4", "40.1", "298.3", "264.0", "30.2", "233.8", "74.4", "9.9", "64.5"],
-    ["Property crime  .  .  .  . .  . .  .  . .  .  . . .  .  .  .", "1,396 .4", "338 .7", "1,057 .7", "875 .9", "210 .8", "665 .1", "608 .2", "127 .9", "392 .6"],
-    ["Burglary . .. . . . . .. ... .... .... ..", "240.9", "60.3", "180.6", "205.0", "53.4", "151.7", "35.9", "6.9", "29.0"],
-    ["Larceny-theft . . . . . . . .. .. .. .. .. .", "1,080.1", "258.1", "822.0", "608.8", "140.5", "468.3", "471.3", "117.6", "353.6"],
-    ["Motor vehicle theft . . . . .. .. . .... .", "65.6", "16.0", "49.6", "53.9", "13.3", "40.7", "11.7", "2.7", "8.9"],
-    ["Arson .. . . . .. . ... .... .... .... .", "9.8", "4.3", "5.5", "8.1", "3.7", "4.4", "1.7", "0.6", "1.1"],
-    ["Other assaults .. . . . . .. . ... . ... ..", "1,061.3", "175.3", "886.1", "785.4", "115.4", "670.0", "276.0", "59.9", "216.1"],
-    ["Forgery and counterfeiting .. . . . . . ..", "68.9", "1.7", "67.2", "42.9", "1.2", "41.7", "26.0", "0.5", "25.5"],
-    ["Fraud .... .. . . .. ... .... .... ....", "173.7", "5.1", "168.5", "98.4", "3.3", "95.0", "75.3", "1.8", "73.5"],
-    ["Embezzlement . . .. . . . .. . ... . ....", "14.6", "–", "14.1", "7.2", "–", "6.9", "7.4", "–", "7.2"],
-    ["Stolen property 1  . . . . . . .. . .. .. ...", "84.3", "15.1", "69.2", "66.7", "12.2", "54.5", "17.6", "2.8", "14.7"],
-    ["Vandalism  . . . . . . . .. .. .. .. .. ....", "217.4", "72.7", "144.7", "178.1", "62.8", "115.3", "39.3", "9.9", "29.4"],
+    ["manslaughter . . . . . . . .\n. .\n. .\n. .\n. .\n.", "10.0", "0.9", "9.1", "9.0", "0.9", "8.1", "1.1", "–", "1.0"],
+    ["Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n. .", "17.5", "2.6", "14.9", "17.2", "2.5", "14.7", "–", "–", "–"],
+    ["Robbery . . . .\n. .\n. . .\n. . .\n.\n. . .\n.\n. . .\n.\n.", "102.1", "25.5", "76.6", "90.0", "22.9", "67.1", "12.1", "2.5", "9.5"],
+    ["Aggravated assault  . . . . . . . .\n. .\n. .\n.", "338.4", "40.1", "298.3", "264.0", "30.2", "233.8", "74.4", "9.9", "64.5"],
+    ["Property crime  .  .  .  .\n .  .\n .  .  .\n .  .  .\n .\n .  .  .  .", "1,396 .4", "338 .7", "1,057 .7", "875 .9", "210 .8", "665 .1", "608 .2", "127 .9", "392 .6"],
+    ["Burglary . .\n. . . . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.", "240.9", "60.3", "180.6", "205.0", "53.4", "151.7", "35.9", "6.9", "29.0"],
+    ["Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n. .", "1,080.1", "258.1", "822.0", "608.8", "140.5", "468.3", "471.3", "117.6", "353.6"],
+    ["Motor vehicle theft . . . . .\n. .\n. . .\n.\n.\n. .", "65.6", "16.0", "49.6", "53.9", "13.3", "40.7", "11.7", "2.7", "8.9"],
+    ["Arson .\n. . . . .\n. . .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .", "9.8", "4.3", "5.5", "8.1", "3.7", "4.4", "1.7", "0.6", "1.1"],
+    ["Other assaults .\n. . . . . .\n. . .\n.\n. . .\n.\n. .\n.", "1,061.3", "175.3", "886.1", "785.4", "115.4", "670.0", "276.0", "59.9", "216.1"],
+    ["Forgery and counterfeiting .\n. . . . . . .\n.", "68.9", "1.7", "67.2", "42.9", "1.2", "41.7", "26.0", "0.5", "25.5"],
+    ["Fraud .\n.\n.\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n.", "173.7", "5.1", "168.5", "98.4", "3.3", "95.0", "75.3", "1.8", "73.5"],
+    ["Embezzlement . . .\n. . . . .\n. . .\n.\n. . .\n.\n.\n.", "14.6", "–", "14.1", "7.2", "–", "6.9", "7.4", "–", "7.2"],
+    ["Stolen property 1  . . . . . . .\n. . .\n. .\n. .\n.\n.", "84.3", "15.1", "69.2", "66.7", "12.2", "54.5", "17.6", "2.8", "14.7"],
+    ["Vandalism  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.", "217.4", "72.7", "144.7", "178.1", "62.8", "115.3", "39.3", "9.9", "29.4"],
    ["Weapons; carrying, possessing, etc. .", "132.9", "27.1", "105.8", "122.1", "24.3", "97.8", "10.8", "2.8", "8.0"],
-    ["Prostitution and commercialized vice",
-    "56.9", "1.1", "55.8", "17.3", "–", "17.1", "39.6", "0.8", "38.7"],
-    ["Sex offenses 2  . . . . .. . . . .. .. .. . ..", "61.5", "10.7", "50.7", "56.1", "9.6", "46.5", "5.4", "1.1", "4.3"],
-    ["Drug abuse violations  . . . . . . . .. ...", "1,333.0", "136.6", "1,196.4", "1,084.3", "115.2", "969.1", "248.7", "21.4", "227.3"],
-    ["Gambling .. . . . . .. ... . ... . ... ...", "8.2", "1.4", "6.8", "7.2", "1.4", "5.9", "0.9", "–", "0.9"],
+    ["Prostitution and commercialized vice", "56.9", "1.1", "55.8", "17.3", "–", "17.1", "39.6", "0.8", "38.7"],
+    ["Sex offenses 2  . . . . .\n. . . . .\n. .\n. .\n. . .\n.", "61.5", "10.7", "50.7", "56.1", "9.6", "46.5", "5.4", "1.1", "4.3"],
+    ["Drug abuse violations  . . . . . . . .\n. .\n.\n.", "1,333.0", "136.6", "1,196.4", "1,084.3", "115.2", "969.1", "248.7", "21.4", "227.3"],
+    ["Gambling .\n. . . . . .\n. .\n.\n. . .\n.\n. . .\n.\n. .\n.\n.", "8.2", "1.4", "6.8", "7.2", "1.4", "5.9", "0.9", "–", "0.9"],
    ["Offenses against the family and", "", "", "", "", "", "", "", "", ""],
-    ["children . . . .. . . .. .. .. .. .. .. . ..", "92.4", "3.7", "88.7", "68.9", "2.4", "66.6", "23.4", "1.3", "22.1"],
-    ["Driving under the influence . . . . . .. .", "1,158.5", "109.2", "1,147.5", "895.8", "8.2", "887.6", "262.7", "2.7", "260.0"],
-    ["Liquor laws  . . . . . . . .. .. .. .. .. .. .", "48.2", "90.2", "368.0", "326.8", "55.4", "271.4",
-    "131.4", "34.7", "96.6"],
-    ["Drunkenness . . .. . . . .. . ... . ... ..", "488.1", "11.4", "476.8", "406.8", "8.5", "398.3", "81.3", "2.9", "78.4"],
-    ["Disorderly conduct . .. . . . . . .. .. .. .", "529.5", "136.1", "393.3", "387.1", "90.8", "296.2", "142.4", "45.3", "97.1"],
-    ["Vagrancy . . . .. . . . ... .... .... ...", "26.6", "2.2", "24.4", "20.9", "1.6", "19.3", "5.7", "0.6", "5.1"],
-    ["All other offenses (except traffic) . . ..", "306.1", "263.4", "2,800.8", "2,337.1", "194.2", "2,142.9", "727.0", "69.2", "657.9"],
-    ["Suspicion . . . .. . . .. .. .. .. .. .. . ..", "1.6", "–", "1.4", "1.2", "–", "1.0", "–", "–", "–"],
-    ["Curfew and loitering law violations  ..", "91.0", "91.0", "(X)", "63.1", "63.1", "(X)", "28.0", "28.0", "(X)"],
-    ["Runaways  . . . . . . . .. .. .. .. .. ....", "75.8", "75.8", "(X)", "34.0", "34.0", "(X)", "41.8", "41.8", "(X)"],
+    ["children . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.", "92.4", "3.7", "88.7", "68.9", "2.4", "66.6", "23.4", "1.3", "22.1"],
+    ["Driving under the influence . . . . . .\n. .", "1,158.5", "109.2", "1,147.5", "895.8", "8.2", "887.6", "262.7", "2.7", "260.0"],
+    ["Liquor laws  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .", "48.2", "90.2", "368.0", "326.8", "55.4", "271.4", "131.4", "34.7", "96.6"],
+    ["Drunkenness . . .\n. . . . .\n. . .\n.\n. . .\n.\n. .\n.", "488.1", "11.4", "476.8", "406.8", "8.5", "398.3", "81.3", "2.9", "78.4"],
+    ["Disorderly conduct . .\n. . . . . . .\n. .\n. .\n. .", "529.5", "136.1", "393.3", "387.1", "90.8", "296.2", "142.4", "45.3", "97.1"],
+    ["Vagrancy . . . .\n. . . . .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.", "26.6", "2.2", "24.4", "20.9", "1.6", "19.3", "5.7", "0.6", "5.1"],
+    ["All other offenses (except traffic) . . .\n.", "306.1", "263.4", "2,800.8", "2,337.1", "194.2", "2,142.9", "727.0", "69.2", "657.9"],
+    ["Suspicion . . . .\n. . . .\n. .\n. .\n. .\n. .\n. .\n. . .\n.", "1.6", "–", "1.4", "1.2", "–", "1.0", "–", "–", "–"],
+    ["Curfew and loitering law violations  .\n.", "91.0", "91.0", "(X)", "63.1", "63.1", "(X)", "28.0", "28.0", "(X)"],
+    ["Runaways  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.", "75.8", "75.8", "(X)", "34.0", "34.0", "(X)", "41.8", "41.8", "(X)"],
    ["", "– Represents zero. X Not applicable. 1 Buying, receiving, possessing stolen property. 2 Except forcible rape and prostitution.", "", "", "", "", "", "", "", ""],
    ["", "Source: U.S. Department of Justice, Federal Bureau of Investigation, Uniform Crime Reports, Arrests Master Files.", "", "", "", "", "", "", "", ""]
 ]
@@ -128,41 +126,40 @@ data_stream_two_tables_2 = [
    ["[Based on Uniform Crime Reporting (UCR) Program. Represents arrests reported (not charged) by 12,371 agencies", "", "", "", "", ""],
    ["with a total population of 239,839,971 as estimated by the FBI. See headnote, Table 324]", "", "", "", "", ""],
    ["", "", "", "", "American", ""],
-    ["Offense charged", "", "", "",
-    "Indian/Alaskan", "Asian Pacific"],
+    ["Offense charged", "", "", "", "Indian/Alaskan", "Asian Pacific"],
    ["", "Total", "White", "Black", "Native", "Islander"],
-    ["Total  . . . . .  . .  .  . .  .  . . .  .  . . .  .  . .  . . .  .  . . . . .  . .  . .  .", "10,690,561", "7,389,208", "3,027,153", "150,544", "123,656"],
-    ["Violent crime  .  .  .  .  .  .  .  . .  . .  . .  . .  . . . .  . .  . . . . . .  .", "456,965", "268,346", "177,766", "5,608", "5,245"],
-    ["Murder and nonnegligent manslaughter . .. ... .", "9,739", "4,741", "4,801", "100", "97"],
-    ["Forcible rape . . . . . . . .. .. .. .. .... .. ...... .", "16,362", "10,644", "5,319", "169", "230"],
-    ["Robbery . . . . .. . . . ... . ... . .... .... .... . . .", "100,496", "43,039", "55,742", "726", "989"],
-    ["Aggravated assault  . . . . . . . .. .. ...... .. ....", "330,368", "209,922", "111,904", "4,613", "3,929"],
-    ["Property crime  .  .  .  .  . .  .  .  .  . . .  .  . . .  . . . . .  . . .  . . .", "1,364,409", "922,139", "406,382", "17,599", "18,289"],
-    ["Burglary . . .. . . . .. . .... .... .... .... ... . . .", "234,551", "155,994", "74,419", "2,021", "2,117"],
-    ["Larceny-theft . . . . . . . .. .. .. .. .... .. ...... .", "1,056,473", "719,983", "306,625", "14,646", "15,219"],
-    ["Motor vehicle theft . . . . . .. ... . ... ..... ... ..", "63,919", "39,077", "23,184", "817", "841"],
-    ["Arson .. . . .. .. .. ... .... .... .... .... . . . . .", "9,466", "7,085", "2,154", "115", "112"],
-    ["Other assaults .. . . . . . ... . ... . ... ..... ... ..", "1,032,502", "672,865", "332,435", "15,127", "12,075"],
-    ["Forgery and counterfeiting .. . . . . . ... ..... .. ..", "67,054", "44,730", "21,251", "345", "728"],
-    ["Fraud ... . . . . .. .. .. .. .. .. .. .. .. .... . . . . . .", "161,233", "108,032", "50,367", "1,315", "1,519"],
-    ["Embezzlement . . . .. . . . ... . ... . .... ... .....", "13,960", "9,208", "4,429", "75", "248"],
-    ["Stolen property; buying, receiving, possessing .. .", "82,714", "51,953", "29,357", "662", "742"],
-    ["Vandalism  . . . . . . . .. .. .. .. .. .. .... .. ..... .", "212,173", "157,723", "48,746", "3,352", "2,352"],
-    ["Weapons—carrying, possessing, etc. .. .. ... .. .", "130,503", "74,942", "53,441", "951", "1,169"],
-    ["Prostitution and commercialized vice  . ... .. .. ..", "56,560", "31,699", "23,021", "427", "1,413"],
-    ["Sex offenses 1 . . . . . . . .. .. .. .. .... .. ...... .", "60,175", "44,240", "14,347", "715", "873"],
-    ["Drug abuse violations  . . . . . . . .. . ..... .. .....", "1,301,629", "845,974", "437,623", "8,588", "9,444"],
-    ["Gambling . . . . .. . . . ... . ... . .. ... . ...... .. .", "8,046", "2,290", "5,518", "27", "211"],
-    ["Offenses against the family and children ... .. .. .", "87,232", "58,068", "26,850", "1,690", "624"],
-    ["Driving under the influence . . . . . . .. ... ...... .", "1,105,401", "954,444", "121,594", "14,903", "14,460"],
-    ["Liquor laws  . . . . . . . .. .. .. .. .. . ..... .. .....", "444,087", "373,189", "50,431", "14,876", "5,591"],
-    ["Drunkenness . .. . . . . . ... . ... . ..... . .......", "469,958", "387,542", "71,020", "8,552", "2,844"],
-    ["Disorderly conduct . . .. . . . . .. .. . ..... .. .....", "515,689", "326,563", "176,169", "8,783", "4,174"],
-    ["Vagrancy . . .. .. . . .. ... .... .... .... .... . . .", "26,347", "14,581", "11,031", "543", "192"],
-    ["All other offenses (except traffic) . .. .. .. ..... ..", "2,929,217", "1,937,221", "911,670", "43,880", "36,446"],
-    ["Suspicion . . .. . . . .. .. .. .. .. .. .. ...... .. . . .", "1,513", "677", "828", "1", "7"],
-    ["Curfew and loitering law violations  . .. ... .. ....", "89,578", "54,439", "33,207", "872", "1,060"],
-    ["Runaways  . . . . . . . .. .. .. .. .. .. .... .. ..... .", "73,616", "48,343", "19,670", "1,653", "3,950"],
+    ["Total  .\n .\n .\n .\n .  .\n .  .  .\n .  .  .\n .\n .  .  .\n .\n .  .  .\n .  .\n .\n .  .  .\n .\n .\n .\n .  .\n .  .\n .  .", "10,690,561", "7,389,208", "3,027,153", "150,544", "123,656"],
+    ["Violent crime  .  .  .  .  .  .  .  .\n .  .\n .  .\n .  .\n .  .\n .\n .\n .  .\n .  .\n .\n .\n .\n .\n .  .", "456,965", "268,346", "177,766", "5,608", "5,245"],
+    ["Murder and nonnegligent manslaughter . .\n. .\n.\n. .", "9,739", "4,741", "4,801", "100", "97"],
+    ["Forcible rape . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", "16,362", "10,644", "5,319", "169", "230"],
+    ["Robbery . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .", "100,496", "43,039", "55,742", "726", "989"],
+    ["Aggravated assault  . . . . . . . .\n. .\n. .\n.\n.\n.\n.\n. .\n. .\n.\n.\n.", "330,368", "209,922", "111,904", "4,613", "3,929"],
+    ["Property crime  .  .  .  .  .\n .  .  .  .  .\n .\n .  .  .\n .\n .  .\n .\n .\n .\n .  .\n .\n .  .\n .\n .", "1,364,409", "922,139", "406,382", "17,599", "18,289"],
+    ["Burglary . . .\n. . . . .\n. . .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n. . . .", "234,551", "155,994", "74,419", "2,021", "2,117"],
+    ["Larceny-theft . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", "1,056,473", "719,983", "306,625", "14,646", "15,219"],
+    ["Motor vehicle theft . . . . . .\n. .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.", "63,919", "39,077", "23,184", "817", "841"],
+    ["Arson .\n. . . .\n. .\n. .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . . . .", "9,466", "7,085", "2,154", "115", "112"],
+    ["Other assaults .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n. .\n.\n.\n.\n. .\n.\n. .\n.", "1,032,502", "672,865", "332,435", "15,127", "12,075"],
+    ["Forgery and counterfeiting .\n. . . . . . .\n.\n. .\n.\n.\n.\n. .\n. .\n.", "67,054", "44,730", "21,251", "345", "728"],
+    ["Fraud .\n.\n. . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. . . . . . .", "161,233", "108,032", "50,367", "1,315", "1,519"],
+    ["Embezzlement . . . .\n. . . . .\n.\n. . .\n.\n. . .\n.\n.\n. .\n.\n. .\n.\n.\n.\n.", "13,960", "9,208", "4,429", "75", "248"],
+    ["Stolen property; buying, receiving, possessing .\n. .", "82,714", "51,953", "29,357", "662", "742"],
+    ["Vandalism  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n. .", "212,173", "157,723", "48,746", "3,352", "2,352"],
+    ["Weapons—carrying, possessing, etc. .\n. .\n. .\n.\n. .\n. .", "130,503", "74,942", "53,441", "951", "1,169"],
+    ["Prostitution and commercialized vice  . .\n.\n. .\n. .\n. .\n.", "56,560", "31,699", "23,021", "427", "1,413"],
+    ["Sex offenses 1 . . . . . . . .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n.\n. .", "60,175", "44,240", "14,347", "715", "873"],
+    ["Drug abuse violations  . . . . . . . .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "1,301,629", "845,974", "437,623", "8,588", "9,444"],
+    ["Gambling . . . . .\n. . . . .\n.\n. . .\n.\n. . .\n. .\n.\n. . .\n.\n.\n.\n.\n. .\n. .", "8,046", "2,290", "5,518", "27", "211"],
+    ["Offenses against the family and children .\n.\n. .\n. .\n. .", "87,232", "58,068", "26,850", "1,690", "624"],
+    ["Driving under the influence . . . . . . .\n. .\n.\n. .\n.\n.\n.\n.\n. .", "1,105,401", "954,444", "121,594", "14,903", "14,460"],
+    ["Liquor laws  . . . . . . . .\n. .\n. .\n. .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "444,087", "373,189", "50,431", "14,876", "5,591"],
+    ["Drunkenness . .\n. . . . . . .\n.\n. . .\n.\n. . .\n.\n.\n.\n. . .\n.\n.\n.\n.\n.\n.", "469,958", "387,542", "71,020", "8,552", "2,844"],
+    ["Disorderly conduct . . .\n. . . . . .\n. .\n. . .\n.\n.\n.\n. .\n. .\n.\n.\n.\n.", "515,689", "326,563", "176,169", "8,783", "4,174"],
+    ["Vagrancy . . .\n. .\n. . . .\n. .\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. .\n.\n.\n. . . .", "26,347", "14,581", "11,031", "543", "192"],
+    ["All other offenses (except traffic) . .\n. .\n. .\n. .\n.\n.\n.\n. .\n.", "2,929,217", "1,937,221", "911,670", "43,880", "36,446"],
+    ["Suspicion . . .\n. . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n.\n.\n. .\n. . . .", "1,513", "677", "828", "1", "7"],
+    ["Curfew and loitering law violations  . .\n. .\n.\n. .\n. .\n.\n.\n.", "89,578", "54,439", "33,207", "872", "1,060"],
+    ["Runaways  . . . . . . . .\n. .\n. .\n. .\n. .\n. .\n. .\n.\n.\n. .\n. .\n.\n.\n.\n. .", "73,616", "48,343", "19,670", "1,653", "3,950"],
    ["1 Except forcible rape and prostitution.", "", "", "", "", ""],
    ["", "Source: U.S. Department of Justice, Federal Bureau of Investigation, “Crime in the United States, Arrests,” September 2010,", "", "", "", ""]
 ]
@@ -170,7 +167,7 @@ data_stream_two_tables_2 = [
 data_stream_table_areas = [
    ["", "One Withholding"],
    ["Payroll Period", "Allowance"],
-    ["Weekly", "$71.15"],
+    ["Weekly", "$\n71.15"],
    ["Biweekly", "142.31"],
    ["Semimonthly", "154.17"],
    ["Monthly", "308.33"],
@@ -316,8 +313,8 @@ data_stream_flag_size = [
 ]

 data_lattice = [
-    ["Cycle Name", "KI (1/km)", "Distance (mi)", "Percent Fuel Savings", "", "", ""],
-    ["", "", "", "Improved Speed", "Decreased Accel", "Eliminate Stops", "Decreased Idle"],
+    ["Cycle \nName", "KI \n(1/km)", "Distance \n(mi)", "Percent Fuel Savings", "", "", ""],
+    ["", "", "", "Improved \nSpeed", "Decreased \nAccel", "Eliminate \nStops", "Decreased \nIdle"],
    ["2012_2", "3.30", "1.3", "5.9%", "9.5%", "29.2%", "17.4%"],
    ["2145_1", "0.68", "11.2", "2.4%", "0.1%", "9.5%", "2.7%"],
    ["4234_1", "0.59", "58.7", "8.5%", "1.3%", "8.5%", "3.3%"],
@@ -326,7 +323,7 @@ data_lattice = [
 ]

 data_lattice_table_rotated = [
-    ["State", "Nutritional Assessment  (No. of individuals)", "", "", "", "IYCF Practices  (No. of mothers: 2011-12)", "Blood Pressure  (No. of adults: 2011-12)", "", "Fasting  Blood Sugar (No. of adults:2011-12)", ""],
+    ["State", "Nutritional Assessment  \n(No. of individuals)", "", "", "", "IYCF Practices  \n(No. of mothers: \n2011-12)", "Blood Pressure  \n(No. of adults: \n2011-12)", "", "Fasting  Blood Sugar \n(No. of adults:\n2011-12)", ""],
    ["", "1975-79", "1988-90", "1996-97", "2011-12", "", "Men", "Women", "Men", "Women"],
    ["Kerala", "5738", "6633", "8864", "8297", "245", "2161", "3195", "1645", "2391"],
    ["Tamil Nadu", "7387", "10217", "5813", "7851", "413", "2134", "2858", "1119", "1739"],
@@ -343,7 +340,7 @@ data_lattice_table_rotated = [

 data_lattice_two_tables_1 = [
    ["State", "n", "Literacy Status", "", "", "", "", ""],
-    ["", "", "Illiterate", "Read & Write", "1-4 std.", "5-8 std.", "9-12 std.", "College"],
+    ["", "", "Illiterate", "Read & \nWrite", "1-4 std.", "5-8 std.", "9-12 std.", "College"],
    ["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5"],
    ["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2"],
    ["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8"],
@@ -359,7 +356,7 @@ data_lattice_two_tables_1 = [

 data_lattice_two_tables_2 = [
    ["State", "n", "Literacy Status", "", "", "", "", ""],
-    ["", "", "Illiterate", "Read & Write", "1-4 std.", "5-8 std.", "9-12 std.", "College"],
+    ["", "", "Illiterate", "Read & \nWrite", "1-4 std.", "5-8 std.", "9-12 std.", "College"],
    ["Kerala", "2400", "8.8", "0.3", "20.1", "17.0", "45.6", "8.2"],
    ["Tamil Nadu", "2400", "29.9", "1.5", "8.5", "33.1", "22.3", "4.8"],
    ["Karnataka", "2399", "47.9", "2.5", "10.2", "18.8", "18.4", "2.3"],
@@ -376,7 +373,7 @@ data_lattice_two_tables_2 = [
 data_lattice_table_areas = [
    ["", "", "", "", "", "", "", "", ""],
    ["State", "n", "Literacy Status", "", "", "", "", "", ""],
-    ["", "", "Illiterate", "Read & Write", "1-4 std.", "5-8 std.", "9-12 std.", "College", ""],
+    ["", "", "Illiterate", "Read & \nWrite", "1-4 std.", "5-8 std.", "9-12 std.", "College", ""],
    ["Kerala", "2400", "7.2", "0.5", "25.3", "20.1", "41.5", "5.5", ""],
    ["Tamil Nadu", "2400", "21.4", "2.3", "8.8", "35.5", "25.8", "6.2", ""],
    ["Karnataka", "2399", "37.4", "2.8", "12.5", "18.3", "23.1", "5.8", ""],
@@ -392,13 +389,13 @@ data_lattice_table_areas = [
 ]

 data_lattice_process_background = [
-    ["State", "Date", "Halt stations", "Halt days", "Persons directly reached(in lakh)", "Persons trained", "Persons counseled" ,"Persons testedfor HIV"],
+    ["State", "Date", "Halt \nstations", "Halt \ndays", "Persons \ndirectly \nreached\n(in lakh)", "Persons \ntrained", "Persons \ncounseled", "Persons \ntested\nfor HIV"],
    ["Delhi", "1.12.2009", "8", "17", "1.29", "3,665", "2,409", "1,000"],
-    ["Rajasthan", "2.12.2009 to 19.12.2009", "", "", "", "", "", ""],
-    ["Gujarat", "20.12.2009 to 3.1.2010", "6", "13", "6.03", "3,810", "2,317", "1,453"],
-    ["Maharashtra", "4.01.2010 to 1.2.2010", "13", "26", "1.27", "5,680", "9,027", "4,153"],
-    ["Karnataka", "2.2.2010 to 22.2.2010", "11", "19", "1.80", "5,741", "3,658", "3,183"],
-    ["Kerala", "23.2.2010 to 11.3.2010", "9", "17", "1.42", "3,559", "2,173", "855"],
+    ["Rajasthan", "2.12.2009 to \n19.12.2009", "", "", "", "", "", ""],
+    ["Gujarat", "20.12.2009 to \n3.1.2010", "6", "13", "6.03", "3,810", "2,317", "1,453"],
+    ["Maharashtra", "4.01.2010 to \n1.2.2010", "13", "26", "1.27", "5,680", "9,027", "4,153"],
+    ["Karnataka", "2.2.2010 to \n22.2.2010", "11", "19", "1.80", "5,741", "3,658", "3,183"],
+    ["Kerala", "23.2.2010 to \n11.3.2010", "9", "17", "1.42", "3,559", "2,173", "855"],
    ["Total", "", "47", "92", "11.81", "22,455", "19,584", "10,644"]
 ]

@@ -442,11 +439,11 @@ data_lattice_copy_text = [
    ["PCCM", "San Francisco", "Family Mosaic", "25"],
    ["PCCM", "Total PHP Enrollment", "", "853"],
    ["All Models Total Enrollments", "", "", "10,132,875"],
-    ["Source:   Data Warehouse 12/14/15", "", "", ""]
+    ["Source:   Data Warehouse \n12/14/15", "", "", ""]
 ]

 data_lattice_shift_text_left_top = [
-    ["Investigations", "No. ofHHs", "Age/Sex/Physiological  Group", "Preva-lence", "C.I*", "RelativePrecision", "Sample sizeper State"],
+    ["Investigations", "No. of\nHHs", "Age/Sex/\nPhysiological  Group", "Preva-\nlence", "C.I*", "Relative\nPrecision", "Sample size\nper State"],
    ["Anthropometry", "2400", "All the available individuals", "", "", "", ""],
    ["Clinical Examination", "", "", "", "", "", ""],
    ["History of morbidity", "", "", "", "", "", ""],
@@ -455,12 +452,12 @@ data_lattice_shift_text_left_top = [
    ["", "", "Women (≥ 18 yrs)", "", "", "", "1728"],
    ["Fasting blood glucose", "2400", "Men (≥ 18 yrs)", "5%", "95%", "20%", "1825"],
    ["", "", "Women (≥ 18 yrs)", "", "", "", "1825"],
-    ["Knowledge &Practices on HTN &DM", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
+    ["Knowledge &\nPractices on HTN &\nDM", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
    ["", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"]
 ]

 data_lattice_shift_text_disable = [
-    ["Investigations", "No. ofHHs", "Age/Sex/Physiological  Group", "Preva-lence", "C.I*", "RelativePrecision", "Sample sizeper State"],
+    ["Investigations", "No. of\nHHs", "Age/Sex/\nPhysiological  Group", "Preva-\nlence", "C.I*", "Relative\nPrecision", "Sample size\nper State"],
    ["Anthropometry", "", "", "", "", "", ""],
    ["Clinical Examination", "2400", "", "All the available individuals", "", "", ""],
    ["History of morbidity", "", "", "", "", "", ""],
@@ -469,12 +466,12 @@ data_lattice_shift_text_disable = [
    ["Blood Pressure #", "2400", "Women (≥ 18 yrs)", "10%", "95%", "20%", "1728"],
    ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"],
    ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"],
-    ["Knowledge &Practices on HTN &", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
+    ["Knowledge &\nPractices on HTN &", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
    ["DM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"]
 ]

 data_lattice_shift_text_right_bottom = [
-    ["Investigations", "No. ofHHs", "Age/Sex/Physiological  Group", "Preva-lence", "C.I*", "RelativePrecision", "Sample sizeper State"],
+    ["Investigations", "No. of\nHHs", "Age/Sex/\nPhysiological  Group", "Preva-\nlence", "C.I*", "Relative\nPrecision", "Sample size\nper State"],
    ["Anthropometry", "", "", "", "", "", ""],
    ["Clinical Examination", "", "", "", "", "", ""],
    ["History of morbidity", "2400", "", "", "", "", "All the available individuals"],
@@ -484,5 +481,13 @@ data_lattice_shift_text_right_bottom = [
    ["", "", "Men (≥ 18 yrs)", "", "", "", "1825"],
    ["Fasting blood glucose", "2400", "Women (≥ 18 yrs)", "5%", "95%", "20%", "1825"],
    ["", "2400", "Men (≥ 18 yrs)", "-", "-", "-", "1728"],
-    ["Knowledge &Practices on HTN &DM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"]
+    ["Knowledge &\nPractices on HTN &\nDM", "2400", "Women (≥ 18 yrs)", "-", "-", "-", "1728"]
+]
+
+data_arabic = [
+    ['ً\n\xa0\nﺎﺒﺣﺮﻣ', 'ﻥﺎﻄﻠﺳ\xa0ﻲﻤﺳﺍ'],
+    ['ﻝﺎﻤﺸﻟﺍ\xa0ﺎﻨﻴﻟﻭﺭﺎﻛ\xa0ﺔﻳﻻﻭ\xa0ﻦﻣ\xa0ﺎﻧﺍ', '؟ﺖﻧﺍ\xa0ﻦﻳﺍ\xa0ﻦﻣ'],
+    ['1234', 'ﻂﻄﻗ\xa047\xa0ﻱﺪﻨﻋ'],
+    ['؟ﻙﺎﺒﺷ\xa0ﺖﻧﺍ\xa0ﻞﻫ', 'ﺔﻳﺰﻴﻠﺠﻧﻻﺍ\xa0ﻲﻓ\xa0Jeremy\xa0ﻲﻤﺳﺍ'],
+    ['Jeremy\xa0is\xa0ﻲﻣﺮﺟ\xa0in\xa0Arabic', '']
 ]
@@ -62,6 +62,7 @@ def test_stream_two_tables():

    filename = os.path.join(testdir, "tabula/12s0324.pdf")
    tables = camelot.read_pdf(filename, flavor='stream')
+
    assert len(tables) == 2
    assert df1.equals(tables[0].df)
    assert df2.equals(tables[1].df)
@@ -179,3 +180,11 @@ def test_repr():
    assert repr(tables) == "<TableList n=1>"
    assert repr(tables[0]) == "<Table shape=(7, 7)>"
    assert repr(tables[0].cells[0][0]) == "<Cell x1=120.48 y1=218.42 x2=164.64 y2=233.89>"
+
+
+def test_arabic():
+    df = pd.DataFrame(data_arabic)
+
+    filename = os.path.join(testdir, "tabula/arabic.pdf")
+    tables = camelot.read_pdf(filename)
+    assert df.equals(tables[0].df)
@@ -50,13 +50,25 @@ def test_no_tables_found():
        assert str(e.value) == 'No tables found on page-1'


+def test_no_tables_found_logs_suppressed():
+    filename = os.path.join(testdir, 'foo.pdf')
+    with warnings.catch_warnings():
+        # the test should fail if any warning is thrown
+        warnings.simplefilter('error')
+        try:
+            tables = camelot.read_pdf(filename, suppress_stdout=True)
+        except Warning as e:
+            warning_text = str(e)
+            pytest.fail('Unexpected warning: {}'.format(warning_text))
+
+
 def test_no_tables_found_warnings_suppressed():
    filename = os.path.join(testdir, 'blank.pdf')
    with warnings.catch_warnings():
        # the test should fail if any warning is thrown
        warnings.simplefilter('error')
        try:
-            tables = camelot.read_pdf(filename, suppress_warnings=True)
+            tables = camelot.read_pdf(filename, suppress_stdout=True)
        except Warning as e:
            warning_text = str(e)
            pytest.fail('Unexpected warning: {}'.format(warning_text))
@@ -29,12 +29,20 @@ def test_grid_plot():

@pytest.mark.mpl_image_compare(
    baseline_dir="files/baseline_plots", remove_text=True)
-def test_contour_plot():
+def test_lattice_contour_plot():
    filename = os.path.join(testdir, "foo.pdf")
    tables = camelot.read_pdf(filename)
    return camelot.plot(tables[0], kind='contour')


+@pytest.mark.mpl_image_compare(
+    baseline_dir="files/baseline_plots", remove_text=True)
+def test_stream_contour_plot():
+    filename = os.path.join(testdir, "tabula/12s0324.pdf")
+    tables = camelot.read_pdf(filename, flavor='stream')
+    return camelot.plot(tables[0], kind='contour')
+
+
@pytest.mark.mpl_image_compare(
    baseline_dir="files/baseline_plots", remove_text=True)
 def test_line_plot():
@@ -49,3 +57,11 @@ def test_joint_plot():
    filename = os.path.join(testdir, "foo.pdf")
    tables = camelot.read_pdf(filename)
    return camelot.plot(tables[0], kind='joint')
+
+
+@pytest.mark.mpl_image_compare(
+    baseline_dir="files/baseline_plots", remove_text=True)
+def test_textedge_plot():
+    filename = os.path.join(testdir, "tabula/12s0324.pdf")
+    tables = camelot.read_pdf(filename, flavor='stream')
+    return camelot.plot(tables[0], kind='textedge')
Author	SHA1	Message	Date
Vinayak Mehta	153869fda2	Update HISTORY.md and bump version Update HISTORY.md	2018-12-13 16:46:17 +05:30
Vinayak Mehta	f8eaec4ce4	Merge pull request #227 from socialcopsdev/fix-050-bugs Fix v0.5.0 bugs	2018-12-13 16:29:47 +05:30
Vinayak Mehta	d83d5fae42	Fix tests Fix tests	2018-12-13 16:06:48 +05:30
Vinayak Mehta	69136431b6	Fix #215	2018-12-13 14:36:50 +05:30
Vinayak Mehta	ff4d8ce228	Add test for arabic	2018-12-13 13:13:07 +05:30
Vinayak Mehta	5e71f0b0e6	Fix #192	2018-12-13 12:50:30 +05:30
Vinayak Mehta	33cea45346	Fix #105	2018-12-13 00:45:22 +05:30
Vinayak Mehta	40217bea46	Merge pull request #225 from socialcopsdev/fix-204 [MRG] Change suppress_warnings to suppress_stdout	2018-12-12 10:34:08 +05:30
Vinayak Mehta	591cfd5291	Change kwarg name	2018-12-12 10:15:04 +05:30
Vinayak Mehta	de0079a711	Update HISTORY.md	2018-12-12 09:59:22 +05:30
Vinayak Mehta	e50f9c8847	Change suppress_warnings to verbose	2018-12-12 09:58:34 +05:30
Vinayak Mehta	50780e24f8	Merge pull request #224 from socialcopsdev/fix-207 [MRG] Add plot types and update docs	2018-12-12 08:53:58 +05:30
Vinayak Mehta	92e02fa03d	Update HISTORY.md	2018-12-12 08:26:59 +05:30
Vinayak Mehta	656c4e09bc	Update docs	2018-12-12 08:18:49 +05:30
Vinayak Mehta	b56d2246ad	Add new plot type tests	2018-12-12 08:09:52 +05:30
Vinayak Mehta	87a2f4fdc9	Add textedge plot type	2018-12-12 07:36:07 +05:30
Vinayak Mehta	451fac9e53	Add updated stream benchmark	2018-12-11 21:28:42 +05:30
Vinayak Mehta	649fd67c44	Rename file	2018-12-11 21:17:50 +05:30
Vinayak Mehta	e45e7478bf	Add updated stream benchmark	2018-12-11 21:16:16 +05:30
Vinayak Mehta	d6ffe0f1a9	Add pdfplumber benchmark	2018-12-11 20:34:43 +05:30
Vinayak Mehta	423e5f8aad	Merge pull request #221 from socialcopsdev/fix-217 [MRG] Fix variable name	2018-12-07 20:51:13 +05:30
Vinayak Mehta	619ce2e2a4	Fix grid plot baseline image	2018-12-07 20:22:56 +05:30
Vinayak Mehta	8d8ca6e435	Fix variable name	2018-12-07 18:45:23 +05:30
Vinayak Mehta	1f0a1c0c68	Merge pull request #218 from socialcopsdev/add-chardet Add chardet to install_requires	2018-12-05 21:00:22 +05:30
Vinayak Mehta	cb3e76726b	Bump version	2018-12-05 20:10:25 +05:30
Vinayak Mehta	2635f910e4	Add chardet to install_requires	2018-12-05 20:08:37 +05:30
Vinayak Mehta	7bdd9a3156	Update docs	2018-12-01 06:29:35 +05:30